Search on Parquet.
Full-text search, vectors, and SQL — directly on Parquet. Spin up compute on demand without managing search infrastructure.
One copy
of your data.
A purpose-built search engine that executes Elasticsearch queries on Parquet files so a single copy of your data runs full-text, vector, and SQL at object-storage scale. No second store to sync, no third store to reconcile.
Vector embeddings are stored alongside the data inside the Parquet files — no separate vector database to manage.
Full-text indexes are embedded in Parquet alongside the data. No Elasticsearch fleet to scale and re-index.
Nothing to mirror, replicate, or reconcile. The Parquet file is the index, the vector store, and the table.
S3, GCS, Azure Blob. Storage and compute scale independently — agents stay cheap as data grows.
Still Parquet. Other tools can read it. You aren't locked into a proprietary store to query your own data.
Speaks Elasticsearch Query DSL. Port your existing Elastic applications and dashboards without rewriting queries.
Run compute
when you need it.
Because indexes live inside Parquet on object storage, there's no cluster to keep warm. Compute spins up on demand, attaches to the data where it sits, and releases when the query is done. Hot-tier what you actually need; leave the rest cold and cheap.
Compute on demand
Spin up search compute when a query arrives. Tear it down when it's done. No always-on cluster waiting for traffic.
Data stays put
Your Parquet stays on S3, GCS, or Azure Blob. Compute attaches to the data — the data doesn't move into a cluster.
Hot path when you need it
Pin a working set into a hot tier for sub-second latency. Leave the long tail cold. Pay for what's actually queried.
Scale to zero
Idle workloads cost nothing. Bursty agent traffic gets the compute it needs, then releases it. Storage and compute scale independently.
Hosted by us. SOC 2 in progress. Start in minutes.
Single-tenant, deployed inside your AWS / GCP / Azure account.
On-prem. Used by government and regulated operators today.
See how Infino works in an F1 team, a US government agency, a large energy operator, and security teams shipping agents into regulated environments.
See the case studies